Rainfall-runoff modeling considering soil moisture accounting algorithm, case study: Karoon III River basin

Abstract

In contrast to event based hydrologic models which reveal how a basin responds to an individual rainfall event, continuous ones synthesize hydrologic processes over a longer time period that includes both dry and wet conditions. With respect to the importance of infiltration method in Rainfall-Runoff (RR) modeling, the objective of this study was to assess HEC-HMS with Soil Moisture Accounting (SMA) infiltration algorithm, considering several components of hydrologic cycle such as canopy interception, surface depression, infiltration into the soil profile storage, percolation to the ground water aquifer and base flow caused by available soil storage vs. maximum saturated capacity of soil layer, to model daily flows of Karoon III basin (Iran). The model showed satisfied performance by accounting initial moisture condition by SMA model with Nash-Sutcliffe (NS) coefficient of 0.76 and 0.64 for calibration and verification. Sensitivity analysis showed that saturated hydraulic conductivity (K), Clark storage coefficient (R) and time of concentration (t_c) were the most effective parameters on the simulated Peak Over Thresholds (POT). Results from this study assist in improving model accuracy and ability to predict future conditions based upon basin characteristic change.